GOVERNMENT KEY TAKEAWAYS

In these times of disruptions, it becomes apparent that organizations have to adapt to quickly changing market conditions and mobilize their data and analytics resources to make informed decisions. Across the markets we see how crisis accelerates digital transformation. Building resilience becomes crucial, and having agile, effective analytics processes is a key to going and growing through the crises. Henrik Ernlund Pedersen Director Sales Public Sector and Country Manager SAS Institute Denmark

  • The power in validated public data and insights brings great knowledge to public organizations that make them capable of predicting scenarios for future challenges in reliable and safe models. Great decisions can be made based on existing data and leads to better decisions.

  •  The use and the impact of AI in public services in the EU is increasing. Specially in the Nordics, public organizations are relying more and more on AI. AI enabled solutions can deliver shorter and higher quality feedback for all levels of governance, providing an opportunity to speed up, improve efficiency and effectiveness of service delivery. Therefore, stakeholders in the public sector need to understand the potential and impacts better and start with AI projects that matter.

  • Procurement fraud a perception on the challenges in combating fraud. Challenges in fraud are growing and public organizations must secure their financial interests better. Optimizing the use of modern technology in detecting fraud is one way. By using new technologies public organizations can implement continuous control monitoring and use data analytics for monitoring payments and nonmonetary transactions as well as events that enables them to identify and respond to unwanted and suspicious behavior in real-time.

  • Smart cities need the use of new technology, because it adds value to cities and their infrastructure. People move to big cities and the demand for creating well-functioning city environments calls for smart cities. Smart cities can save resources and increase livability and functionality. To reach the potential we need to create business models and great use cases for the smart city by using data that already exists.